
=== Start adding workers ===
=> Add worker SGDMWorker(index=0, momentum=0.9)
=> Add worker SGDMWorker(index=1, momentum=0.9)
=> Add worker SGDMWorker(index=2, momentum=0.9)
=> Add worker SGDMWorker(index=3, momentum=0.9)
=> Add worker SGDMWorker(index=4, momentum=0.9)
=> Add worker SGDMWorker(index=5, momentum=0.9)
=> Add worker SGDMWorker(index=6, momentum=0.9)
=> Add worker SGDMWorker(index=7, momentum=0.9)
=> Add worker SGDMWorker(index=8, momentum=0.9)
=> Add worker SGDMWorker(index=9, momentum=0.9)
=> Add worker SGDMWorker(index=10, momentum=0.9)
=> Add worker SGDMWorker(index=11, momentum=0.9)
=> Add worker SGDMWorker(index=12, momentum=0.9)
=> Add worker SGDMWorker(index=13, momentum=0.9)
=> Add worker SGDMWorker(index=14, momentum=0.9)
=> Add worker SGDMWorker(index=15, momentum=0.9)
=> Add worker SGDMWorker(index=16, momentum=0.9)
=> Add worker SGDMWorker(index=17, momentum=0.9)
=> Add worker SGDMWorker(index=18, momentum=0.9)
=> Add worker SGDMWorker(index=19, momentum=0.9)
=> Add worker BitFlippingWorker
=> Add worker BitFlippingWorker

=== Start adding graph ===
<codes.graph_utils.DumbbellVariant object at 0x7f769fb1c2b0>

Train epoch 1
[E 1B0  |    704/60000 (  1%) ] Loss: 2.3066 top1=  9.2188

=== Peeking data label distribution E1B0 ===
Worker 0 has targets: tensor([3, 2, 2, 4, 3], device='cuda:0')
Worker 1 has targets: tensor([1, 0, 0, 4, 0], device='cuda:0')
Worker 2 has targets: tensor([4, 1, 0, 1, 0], device='cuda:0')
Worker 3 has targets: tensor([0, 1, 4, 1, 3], device='cuda:0')
Worker 4 has targets: tensor([0, 4, 1, 2, 4], device='cuda:0')
Worker 5 has targets: tensor([2, 2, 4, 4, 4], device='cuda:0')
Worker 6 has targets: tensor([1, 1, 4, 4, 3], device='cuda:0')
Worker 7 has targets: tensor([4, 4, 1, 3, 0], device='cuda:0')
Worker 8 has targets: tensor([1, 3, 1, 0, 4], device='cuda:0')
Worker 9 has targets: tensor([1, 3, 3, 3, 1], device='cuda:0')
Worker 10 has targets: tensor([8, 9, 7, 7, 9], device='cuda:0')
Worker 11 has targets: tensor([8, 9, 6, 6, 7], device='cuda:0')
Worker 12 has targets: tensor([8, 6, 5, 7, 8], device='cuda:0')
Worker 13 has targets: tensor([7, 6, 9, 6, 5], device='cuda:0')
Worker 14 has targets: tensor([8, 5, 8, 6, 7], device='cuda:0')
Worker 15 has targets: tensor([9, 5, 6, 8, 6], device='cuda:0')
Worker 16 has targets: tensor([7, 7, 8, 5, 8], device='cuda:0')
Worker 17 has targets: tensor([9, 7, 5, 6, 6], device='cuda:0')
Worker 18 has targets: tensor([7, 7, 7, 6, 6], device='cuda:0')
Worker 19 has targets: tensor([5, 7, 9, 9, 7], device='cuda:0')
Worker 20 has targets: tensor([3, 2, 2, 4, 3], device='cuda:0')
Worker 21 has targets: tensor([8, 9, 7, 7, 9], device='cuda:0')


[E 1B10 |   7744/60000 ( 13%) ] Loss: 1.0335 top1= 62.1875
[E 1B20 |  14784/60000 ( 25%) ] Loss: 0.3982 top1= 88.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7223 top1= 78.9263


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.9574 top1= 49.3089


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.7165 top1= 44.2608

Train epoch 2
[E 2B0  |    704/60000 (  1%) ] Loss: 0.2802 top1= 90.7812
[E 2B10 |   7744/60000 ( 13%) ] Loss: 0.1889 top1= 93.7500
[E 2B20 |  14784/60000 ( 25%) ] Loss: 0.1959 top1= 94.5312

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6681 top1= 84.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.5075 top1= 49.8598


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.4851 top1= 45.7833

Train epoch 3
[E 3B0  |    704/60000 (  1%) ] Loss: 0.1612 top1= 95.0000
[E 3B10 |   7744/60000 ( 13%) ] Loss: 0.1096 top1= 96.7188
[E 3B20 |  14784/60000 ( 25%) ] Loss: 0.1224 top1= 96.5625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6031 top1= 86.3081


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.4516 top1= 50.1302


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.6047 top1= 46.1939

Train epoch 4
[E 4B0  |    704/60000 (  1%) ] Loss: 0.1177 top1= 96.4062
[E 4B10 |   7744/60000 ( 13%) ] Loss: 0.0800 top1= 97.8125
[E 4B20 |  14784/60000 ( 25%) ] Loss: 0.0791 top1= 97.5000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5429 top1= 86.8389


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.5615 top1= 50.3405


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.6550 top1= 46.4443

Train epoch 5
[E 5B0  |    704/60000 (  1%) ] Loss: 0.0801 top1= 97.9688
[E 5B10 |   7744/60000 ( 13%) ] Loss: 0.0582 top1= 98.4375
[E 5B20 |  14784/60000 ( 25%) ] Loss: 0.0549 top1= 98.4375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4941 top1= 87.0092


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.7168 top1= 50.4607


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.7401 top1= 46.6246

Train epoch 6
[E 6B0  |    704/60000 (  1%) ] Loss: 0.0585 top1= 98.7500
[E 6B10 |   7744/60000 ( 13%) ] Loss: 0.0415 top1= 98.9062
[E 6B20 |  14784/60000 ( 25%) ] Loss: 0.0398 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4542 top1= 87.6803


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.8752 top1= 50.5308


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.7500 top1= 46.8349

Train epoch 7
[E 7B0  |    704/60000 (  1%) ] Loss: 0.0413 top1= 99.2188
[E 7B10 |   7744/60000 ( 13%) ] Loss: 0.0263 top1= 99.5312
[E 7B20 |  14784/60000 ( 25%) ] Loss: 0.0337 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4233 top1= 88.5216


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.0499 top1= 50.5208


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.7369 top1= 46.7548

Train epoch 8
[E 8B0  |    704/60000 (  1%) ] Loss: 0.0327 top1= 99.2188
[E 8B10 |   7744/60000 ( 13%) ] Loss: 0.0240 top1= 99.6875
[E 8B20 |  14784/60000 ( 25%) ] Loss: 0.0267 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3999 top1= 88.5317


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.1550 top1= 50.5208


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.7667 top1= 47.0853

Train epoch 9
[E 9B0  |    704/60000 (  1%) ] Loss: 0.0216 top1= 99.5312
[E 9B10 |   7744/60000 ( 13%) ] Loss: 0.0166 top1= 99.8438
[E 9B20 |  14784/60000 ( 25%) ] Loss: 0.0194 top1= 99.5312

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3864 top1= 88.3313


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.1489 top1= 50.5609


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.0754 top1= 46.8349

Train epoch 10
[E10B0  |    704/60000 (  1%) ] Loss: 0.0236 top1= 99.2188
[E10B10 |   7744/60000 ( 13%) ] Loss: 0.0120 top1= 99.8438
[E10B20 |  14784/60000 ( 25%) ] Loss: 0.0162 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3726 top1= 88.7019


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.9863 top1= 50.6911


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.2224 top1= 46.9752

Train epoch 11
[E11B0  |    704/60000 (  1%) ] Loss: 0.0098 top1= 99.8438
[E11B10 |   7744/60000 ( 13%) ] Loss: 0.0101 top1=100.0000
[E11B20 |  14784/60000 ( 25%) ] Loss: 0.0192 top1= 99.2188

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3824 top1= 87.7604


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.7387 top1= 50.6310


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.2549 top1= 46.9952

Train epoch 12
[E12B0  |    704/60000 (  1%) ] Loss: 0.0116 top1= 99.8438
[E12B10 |   7744/60000 ( 13%) ] Loss: 0.0113 top1= 99.8438
[E12B20 |  14784/60000 ( 25%) ] Loss: 0.0097 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3603 top1= 88.7821


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.7499 top1= 50.6711


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.2960 top1= 47.0954

Train epoch 13
[E13B0  |    704/60000 (  1%) ] Loss: 0.0068 top1=100.0000
[E13B10 |   7744/60000 ( 13%) ] Loss: 0.0083 top1=100.0000
[E13B20 |  14784/60000 ( 25%) ] Loss: 0.0101 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3382 top1= 89.5933


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.6133 top1= 50.6410


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.2085 top1= 47.1554

Train epoch 14
[E14B0  |    704/60000 (  1%) ] Loss: 0.0056 top1=100.0000
[E14B10 |   7744/60000 ( 13%) ] Loss: 0.0038 top1=100.0000
[E14B20 |  14784/60000 ( 25%) ] Loss: 0.0066 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3365 top1= 89.6134


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.5376 top1= 50.6911


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.0213 top1= 46.9251

Train epoch 15
[E15B0  |    704/60000 (  1%) ] Loss: 0.0073 top1=100.0000
[E15B10 |   7744/60000 ( 13%) ] Loss: 0.0032 top1=100.0000
[E15B20 |  14784/60000 ( 25%) ] Loss: 0.0058 top1= 99.8438

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3224 top1= 90.0040


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.6434 top1= 50.6911


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.0441 top1= 47.2356

Train epoch 16
[E16B0  |    704/60000 (  1%) ] Loss: 0.0028 top1=100.0000
[E16B10 |   7744/60000 ( 13%) ] Loss: 0.0028 top1=100.0000
[E16B20 |  14784/60000 ( 25%) ] Loss: 0.0042 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3261 top1= 89.6835


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.6680 top1= 50.7312


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.0813 top1= 47.0653

Train epoch 17
[E17B0  |    704/60000 (  1%) ] Loss: 0.0033 top1=100.0000
[E17B10 |   7744/60000 ( 13%) ] Loss: 0.0026 top1=100.0000
[E17B20 |  14784/60000 ( 25%) ] Loss: 0.0035 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3176 top1= 89.8438


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.6115 top1= 50.7312


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.0158 top1= 47.1755

Train epoch 18
[E18B0  |    704/60000 (  1%) ] Loss: 0.0024 top1=100.0000
[E18B10 |   7744/60000 ( 13%) ] Loss: 0.0023 top1=100.0000
[E18B20 |  14784/60000 ( 25%) ] Loss: 0.0029 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3183 top1= 89.8337


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.5253 top1= 50.7412


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.9276 top1= 47.1855

Train epoch 19
[E19B0  |    704/60000 (  1%) ] Loss: 0.0023 top1=100.0000
[E19B10 |   7744/60000 ( 13%) ] Loss: 0.0023 top1=100.0000
[E19B20 |  14784/60000 ( 25%) ] Loss: 0.0028 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3170 top1= 89.8037


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.4291 top1= 50.7412


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.8019 top1= 47.1655

Train epoch 20
[E20B0  |    704/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E20B10 |   7744/60000 ( 13%) ] Loss: 0.0023 top1=100.0000
[E20B20 |  14784/60000 ( 25%) ] Loss: 0.0028 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3158 top1= 89.8438


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.3202 top1= 50.7612


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.6637 top1= 47.1855

Train epoch 21
[E21B0  |    704/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E21B10 |   7744/60000 ( 13%) ] Loss: 0.0022 top1=100.0000
[E21B20 |  14784/60000 ( 25%) ] Loss: 0.0028 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3136 top1= 89.8638


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.2016 top1= 50.7612


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.5294 top1= 47.1955

Train epoch 22
[E22B0  |    704/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E22B10 |   7744/60000 ( 13%) ] Loss: 0.0022 top1=100.0000
[E22B20 |  14784/60000 ( 25%) ] Loss: 0.0028 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3112 top1= 89.9139


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.0812 top1= 50.7312


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.3967 top1= 47.1655

Train epoch 23
[E23B0  |    704/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E23B10 |   7744/60000 ( 13%) ] Loss: 0.0022 top1=100.0000
[E23B20 |  14784/60000 ( 25%) ] Loss: 0.0029 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3077 top1= 90.0841


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.9644 top1= 50.7212


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.2678 top1= 47.1655

Train epoch 24
[E24B0  |    704/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E24B10 |   7744/60000 ( 13%) ] Loss: 0.0021 top1=100.0000
[E24B20 |  14784/60000 ( 25%) ] Loss: 0.0029 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3044 top1= 90.1542


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.8434 top1= 50.7111


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.1370 top1= 47.1755

Train epoch 25
[E25B0  |    704/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E25B10 |   7744/60000 ( 13%) ] Loss: 0.0021 top1=100.0000
[E25B20 |  14784/60000 ( 25%) ] Loss: 0.0029 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3009 top1= 90.3045


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.7230 top1= 50.7111


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.0099 top1= 47.1755

Train epoch 26
[E26B0  |    704/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E26B10 |   7744/60000 ( 13%) ] Loss: 0.0021 top1=100.0000
[E26B20 |  14784/60000 ( 25%) ] Loss: 0.0029 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2971 top1= 90.3446


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6128 top1= 50.7111


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.8778 top1= 47.1354

Train epoch 27
[E27B0  |    704/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E27B10 |   7744/60000 ( 13%) ] Loss: 0.0022 top1=100.0000
[E27B20 |  14784/60000 ( 25%) ] Loss: 0.0029 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2939 top1= 90.5048


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.4996 top1= 50.7212


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.7496 top1= 47.1354

Train epoch 28
[E28B0  |    704/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E28B10 |   7744/60000 ( 13%) ] Loss: 0.0022 top1=100.0000
[E28B20 |  14784/60000 ( 25%) ] Loss: 0.0029 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2905 top1= 90.5349


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.3927 top1= 50.7512


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.6241 top1= 47.1454

Train epoch 29
[E29B0  |    704/60000 (  1%) ] Loss: 0.0023 top1=100.0000
[E29B10 |   7744/60000 ( 13%) ] Loss: 0.0022 top1=100.0000
[E29B20 |  14784/60000 ( 25%) ] Loss: 0.0029 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2873 top1= 90.6951


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.2943 top1= 50.8413


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.5034 top1= 47.1254

Train epoch 30
[E30B0  |    704/60000 (  1%) ] Loss: 0.0023 top1=100.0000
[E30B10 |   7744/60000 ( 13%) ] Loss: 0.0022 top1=100.0000
[E30B20 |  14784/60000 ( 25%) ] Loss: 0.0029 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2846 top1= 90.7652


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.1931 top1= 50.9415


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.3887 top1= 47.1554

